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Vision-based hand gesture tracking and recognition

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1 Author(s)
Huang, T. ; Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana-Champaign, IL, USA

Summary form only given. We present some results of our research on hand tracking and gesture recognition in the last 5 years. This research is motivated by applications in human-computer interaction such as display control in virtual environments and the manipulation of virtual objects. Although we have studied both appearance-based and 3D model-based approaches, this talk concentrates on the latter. At any given time instant, the hand configuration - 6 parameters for the global hand "pose" and 21 finger joint angles (the hand "posture") - is a point the 27-dimensional configuration space. We track the trajectory of this point over time using a 3D model-based and analysis-by-synthesis approach. The challenge is to represent the constraints on hand posture and finger movement in a compact way and use this representation to speed up the search in the 21-dimensional space. The tracking results can then be used to do gesture recognition. Some preliminary results are shown on constraint representation and its use in tracking.

Published in:

Signals, Circuits and Systems, 2005. ISSCS 2005. International Symposium on  (Volume:2 )

Date of Conference:

14-15 July 2005

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